AI Inference Core - SDET Technical Lead, Release Integration TestingActive

The opportunity

We are looking for a hands-on SDET Technical Lead to establish and lead Release Integration Testing within Release & Feature Qualification for AI Inference Core.

What you'll do

  • Dedicated Release Integration Testing ownership: Engage before feature qualification completes while keeping the boundary clear: feature teams own feature behavior and qualification; Release Integration Testing owns integration strategy, readiness approval, integrated validation, and first-pass rollout triage.

  • Inference-path readiness gate: Require evidence across unit, simulation, benchmark, feature, and integration testing, with explicit coverage gaps before release entry.

  • Cross-stack test strategy: Define risk-based E2E and regression coverage for features spanning components, organizations, software layers, infrastructure, and hardware.

  • Branch and rollout leadership: Establish measurable health standards for master and release branches, and coordinate inference-impacting rollout across multiple product and release projects.

  • Hands-on technical authority: Lead through code, test architecture, difficult debugging, quality metrics, and evidence-based release decisions.

  • Team multiplier: Raise the technical bar, mentor engineers, and align feature, infrastructure, integration, qualification, and release teams.

What they're looking for

  • Define the Release Integration Testing strategy, engagement criteria,: ownership boundaries, entry and exit criteria, coverage expectations, and escalation thresholds for AI Inference Core.
  • Engage early on high-risk inference changes; identify dependencies and: interaction risks across runtime, host, device programming, memory, scheduling, model execution, infrastructure, and hardware.
  • Own the inference-path readiness gate by reviewing unit, simulation,: benchmark, feature-test, and integration evidence, documenting gaps, and approving integration readiness before release entry.
  • Lead integrated inference E2E validation across features and the: cloud-to-wafer stack; promote durable feature tests and add risk-based scenarios to release regression.